Dr. Schultebraucks has a unique interdisciplinary background as a clinical psychologist, machine learning specialist, and expert in biological stress research.  Since the early time of her dissertation project, her research has focused on studying mental disorders from a translational point of view by examining primary behavioral functions and dysfunction of various neuroendocrine, molecular, cellular, and genetic pathways from an integrative, multi-systems point of view. 

She completed her Ph.D. in the Department of Psychiatry and Psychotherapy at the Charité – Universitätsmedizin Berlin in Germany. She did her postdoctoral fellowship in the Department of Psychiatry at NYU Grossman School of Medicine and was the Florence Irving Assistant Professor and Director of Computational Medicine and Artificial Intelligence in the Department of Emergency Medicine and Psychiatry at Columbia University. She is currently Associate Professor and Co-Director of the Center of Computational Psychiatry in the Department of Psychiatry and Population Health at NYU Grossmann School of Medicine.

Dr. Schultebraucks investigates longitudinal and prospective studies to identify complex sets of early predictors. Her primary research focus centered on precision psychiatry by applying advanced computational methods to improve individualized risk stratification and individualized treatment allocation, leading to publications in Nature Medicine, JAMA Psychiatry, Molecular Psychiatry, and Psychological Medicine as the first and corresponding author. She has been awarded several awards and national and international grants, e.g., she is currently the PI of two R01s funded by the National Institutes of Health (NIH).